Quickly start programming with Python 3 for data visualization with this
step-by-step, detailed guide. This book's programming-friendly approach
using libraries such as leather, NumPy, Matplotlib, and Pandas will
serve as a template for business and scientific visualizations.
You'll begin by installing Python 3, see how to work in Jupyter
notebook, and explore Leather, Python's popular data visualization
charting library. You'll also be introduced to the scientific Python 3
ecosystem and work with the basics of NumPy, an integral part of that
ecosystem. Later chapters are focused on various NumPy routines along
with getting started with Scientific Data visualization using
matplotlib. You'll review the visualization of 3D data using graphs and
networks and finish up by looking at data visualization with Pandas,
including the visualization of COVID-19 data sets.
The code examples are tested on popular platforms like Ubuntu, Windows,
and Raspberry Pi OS. With Practical Python Data Visualization you'll
master the core concepts of data visualization with Pandas and the
Jupyter notebook interface.
What You'll Learn
-
Review practical aspects of Python Data Visualization with
programming-friendly abstractions
-
Install Python 3 and Jupyter on multiple platforms including Windows,
Raspberry Pi, and Ubuntu
-
Visualize COVID-19 data sets with Pandas
**Who This Book Is For
**Data Science enthusiasts and professionals, Business analysts and
managers, software engineers, data engineers.
